Data Scientist Short Term Trading

Eneco - Rotterdam

Data

3-5 years

36 - 40 hours

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Work on data driven solutions that maximize the value of Eneco’s steerable asset portfolio
You will build optimization strategies, bidding algorithms and machine learning models that operate in fast-moving, real-time energy markets
Collaborating closely with teams across Trading, Forecasting, IT, and Operations to deliver integrated, high-impact solutions

Why choose Eneco?

The energy transition is in full swing and Eneco is leading the way. Our goal? Sustainable energy for everyone. This applies to our own business activities, but also to the energy we supply to our customers. For example, we develop wind and solar farms ourselves, and we help customers take sustainable steps every day with smart products and good advice. At the core of this mission lies our commitment to using advanced data science to operate and optimize our complex and diverse asset portfolio. Do you want to help us shape a sustainable future? Then we're looking for you!

What you’ll do

As a Data Scientist in the Flex Optimization team, you’ll work on data driven solutions that maximize the value of Eneco’s steerable asset portfolio - including gas-fired power plants, renewable assets, batteries, industrial e-boilers, and behind the meter assets amongst others - by optimizing their flexibility across short-term power and ancillary markets.

Your work will impact Eneco’s trade result and contributes to a smarter, cleaner energy system. You will build optimization strategies, bidding algorithms and machine learning models that operate in fast-moving, real-time energy markets. You will work side by side with other data scientist and traders to see where data science can add the most value. We aim to have a fast feedback loop of deploying, learning and adjusting, meaning that there is a strong focus on ownership and scalable automation of processes. Deploying your model makes real world impact – often the same day!

You will be working with large and growing datasets, so a continuous effort to improve forecasting, modelling, and decision support tooling is essential to stay ahead. Apart from developing these models you will also play a pivotal role to productionize those in a robust and reliable manner.

Is this about you?

You have a quantitative MSc or equivalent experience in Computer Science, Mathematics, Statistics, Econometrics or a related quantitative field.
You bring around 5 years of experience in data science roles, with prior experience in (energy) trading being considered a plus.
You have experience with building and deploying scalable forecasting, trading and/or optimization algorithms in the cloud.
Strong background in Python development: you know how to write modular and clean code, implement unit tests and proper monitoring.
You understand underlying business problems, can distinguish between main and secondary issues and are able to translate these into robust data driven solutions.
You have experience with SQL databases, Databricks and streaming data.
Proficient with linear programming is considered as a plus.
Proactively initiating improvements and your drive to get things done is key.
You do not hesitate to reach out to stakeholders from the business or IT side to make sure you build the best solution possible.
You are familiar with - parts of - our tech stack: Azure Cloud, Kubernetes, Databricks, Airflow, Snowflake.

You’ll be responsible for

Developing and maintaining advanced analytical models for asset optimization, forecasting, and bidding strategies. Using machine learning and (non)linear optimization methodologies.
Designing and implementing new flexibility value propositions, from grid-scale batteries to behind the meter solutions, that enhance customer value and system flexibility.
Driving automation and scalability, identifying where manual processes can be streamlined and operationalized.
Collaborating closely with teams across Trading, Forecasting, IT, and Operations to deliver integrated, high-impact solutions.

This is where you’ll work

You will work within the Flex Optimization team for the Trade Community - Eneco's international trading division - right next to Rotterdam-Alexander station. A complex, dynamic environment where moving markets, ever-changing positions, new technologies, and the law of inhibiting head start create a challenging field of tension which requires a lot of initiative and insight. We interact quickly with each other in an informal, transparent and collegial atmosphere. In a rapidly changing energy landscape, you and your team will shape the energy transition. A tough job, with challenging but achievable targets.

What we have to offer

Gross annual salary between and

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.

FlexBudget

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Hybrid working, at home or in the office

You work 40% at the office and 40% at home. The other day you decide what works best for you.

Want more information about our terms of employment?

Here's what you get from us

Work that works for you and the climate

If you decide on a career at Eneco, you are choosing ambition, growth and opportunities. You will have all the space you want to improve yourself and do your job the way that suits you best, which includes having a good work-life balance. You can work to a flexible schedule and work partly from home if your role allows it.

That is how you can work on your own future and on the future of the world. After all, you and your 4,000 colleagues are committed to our mission: climate neutrality by 2035. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. Are you ready?

The phases of our application procedure:

Application procedure, 1 applying, 2 introduction interview, 3 online assessment, 4 follo-up interview, 5 offer time and 6 congratulations with your new job

Want to know more about this job function?

For more info about content related info, you can email Michiel Lamers — Lead of the Flex Optimalization Team
📧 [email protected]

For more information about the application process, please contact Sandy van Kints, our Senior Recruiter for the Trade Community:
📧 [email protected]

Questions about the application procedure

Feel free to contact our recruiter:

Sandy van Kints

+31627408888

Send an email

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Data Scientist Short Term Trading